PARALLEL ALGORITHM FOR BAYESIAN NETWORK STRUCTURE LEARNING

The article deals with implementation of a scalable parallel algorithm for structure learning of Bayesian network. Comparative analysis of sequential and parallel algorithms is done.

Bibliographic Details
Main Authors: S. A. Arustamov, V. Y. Dayneko
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2013-03-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
Online Access:http://openbooks.ifmo.ru/read_ntv/4145/4145.pdf